{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1e97e808-6a55-4d0f-b24c-0177be80440a",
   "metadata": {},
   "source": [
    "读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 491,
   "id": "aa01fc37-31d2-49b8-9303-17cd5fc566b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:47:58.219793Z",
     "start_time": "2024-12-23T13:47:58.214121Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 492,
   "id": "50808c91-76b4-47a4-bbb5-d14ce22e32d7",
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2024-12-23T13:47:58.699577Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_excel('C:\\\\Users\\\\fyved\\\\数据分析\\\\有效数据.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 493,
   "id": "bd3855b5-f99e-47f7-923d-8dd965703dc6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:47:58.847869Z",
     "start_time": "2024-12-23T13:47:58.842393Z"
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    {
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      ],
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       "                                               comment  rating  \\\n",
       "0    *2 5I loved the idea of this book. The plot so...       2   \n",
       "1    (Actually more of a 3.5  but I'm feeling gener...       4   \n",
       "2    I really enjoyed this book  I don't usually re...       3   \n",
       "3    A masterpiece - I didn’t want it to end.“As I ...       5   \n",
       "4    This book is beautiful and awful at the same t...       4   \n",
       "..                                                 ...     ...   \n",
       "348  Some years ago i watched the movie \"Red Shorgu...       4   \n",
       "349  Very good fictional story which introduces you...       4   \n",
       "350  How the author has used the red sorghum and cr...       5   \n",
       "351  Saw the movie already and have it on DVD in Ch...       0   \n",
       "352  10-11: A dark-blue substance was flowing on hi...       5   \n",
       "\n",
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       "4   2021-01-15 23:37:55  \n",
       "..                  ...  \n",
       "348 2017-03-27 01:52:05  \n",
       "349 2017-04-01 20:16:48  \n",
       "350 2018-01-22 23:08:57  \n",
       "351 2018-05-02 01:14:06  \n",
       "352 2019-05-12 16:38:24  \n",
       "\n",
       "[353 rows x 3 columns]"
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   "cell_type": "code",
   "execution_count": 494,
   "id": "08f6380f-6d41-430c-8e5d-6c68a99c6ec4",
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     "end_time": "2024-12-23T13:47:58.999491Z",
     "start_time": "2024-12-23T13:47:58.996880Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.drop('created_at', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 495,
   "id": "aa817e83-70f4-4026-9103-32248726a997",
   "metadata": {
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     "end_time": "2024-12-23T13:47:59.125142Z",
     "start_time": "2024-12-23T13:47:59.120184Z"
    }
   },
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    {
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       "      <th>352</th>\n",
       "      <td>10-11: A dark-blue substance was flowing on hi...</td>\n",
       "      <td>5</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>353 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               comment  rating\n",
       "0    *2 5I loved the idea of this book. The plot so...       2\n",
       "1    (Actually more of a 3.5  but I'm feeling gener...       4\n",
       "2    I really enjoyed this book  I don't usually re...       3\n",
       "3    A masterpiece - I didn’t want it to end.“As I ...       5\n",
       "4    This book is beautiful and awful at the same t...       4\n",
       "..                                                 ...     ...\n",
       "348  Some years ago i watched the movie \"Red Shorgu...       4\n",
       "349  Very good fictional story which introduces you...       4\n",
       "350  How the author has used the red sorghum and cr...       5\n",
       "351  Saw the movie already and have it on DVD in Ch...       0\n",
       "352  10-11: A dark-blue substance was flowing on hi...       5\n",
       "\n",
       "[353 rows x 2 columns]"
      ]
     },
     "execution_count": 495,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "624946c4-3725-4496-bd21-9e2e1ae3a830",
   "metadata": {},
   "source": [
    "情感划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 496,
   "id": "6aee5d92-4ac2-4e29-84cf-908bd7eeb381",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:00.027521Z",
     "start_time": "2024-12-23T13:48:00.024191Z"
    }
   },
   "outputs": [],
   "source": [
    "from numpy import array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 497,
   "id": "f9d7a93e-0558-4c34-b3f2-0e1b3eb15468",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:00.239073Z",
     "start_time": "2024-12-23T13:48:00.235947Z"
    }
   },
   "outputs": [],
   "source": [
    "from numpy import int64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "id": "259452dd-1759-49b9-9345-17ac36ee0295",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:00.459201Z",
     "start_time": "2024-12-23T13:48:00.455026Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3, 2, 4, 5, 1], dtype=int64)"
      ]
     },
     "execution_count": 498,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['rating'].unique()\n",
    "array([3, 2, 4, 5, 1], dtype=int64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "id": "6d5631c8-3cba-41c1-8e21-c74531bb87ba",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:00.837273Z",
     "start_time": "2024-12-23T13:48:00.834398Z"
    }
   },
   "outputs": [],
   "source": [
    "def make_label(star):\n",
    "    if star >= 3:\n",
    "        return 1\n",
    "    if star < 3:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "id": "773459c5-0e1b-438c-bd09-c81ba1206b1c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:01.586810Z",
     "start_time": "2024-12-23T13:48:01.580987Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                               comment  rating  sentiment\n",
      "0    *2 5I loved the idea of this book. The plot so...       2          0\n",
      "1    (Actually more of a 3.5  but I'm feeling gener...       4          1\n",
      "2    I really enjoyed this book  I don't usually re...       3          1\n",
      "3    A masterpiece - I didn’t want it to end.“As I ...       5          1\n",
      "4    This book is beautiful and awful at the same t...       4          1\n",
      "..                                                 ...     ...        ...\n",
      "348  Some years ago i watched the movie \"Red Shorgu...       4          1\n",
      "349  Very good fictional story which introduces you...       4          1\n",
      "350  How the author has used the red sorghum and cr...       5          1\n",
      "351  Saw the movie already and have it on DVD in Ch...       0          0\n",
      "352  10-11: A dark-blue substance was flowing on hi...       5          1\n",
      "\n",
      "[353 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "data['sentiment'] = data.rating.apply(make_label)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f9684bf-2589-409c-82c9-0232a3550d5d",
   "metadata": {},
   "source": [
    "使用snownlp进行情感分析（准确度较低）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "id": "339a73bb-fe2d-4de2-b128-fb7e346c72d1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:03.547299Z",
     "start_time": "2024-12-23T13:48:03.543977Z"
    }
   },
   "outputs": [],
   "source": [
    "from snownlp import SnowNLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "id": "458624bc-3569-4be1-bcf7-e49ef18e7eb6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:03.907653Z",
     "start_time": "2024-12-23T13:48:03.904516Z"
    }
   },
   "outputs": [],
   "source": [
    "text1 ='This book is really good'\n",
    "text2 ='This book is really bad'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 503,
   "id": "d215ce46-ac3b-4d1a-a3a4-3cf33cce411c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:04.222913Z",
     "start_time": "2024-12-23T13:48:04.217701Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<snownlp.SnowNLP at 0x1dd3cd7ef60>"
      ]
     },
     "execution_count": 503,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1 = SnowNLP(text1)\n",
    "s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 504,
   "id": "0afe9561-14ff-43e3-bc48-e52aea2d1823",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:04.936415Z",
     "start_time": "2024-12-23T13:48:04.934019Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This,book,is,really,good\n"
     ]
    }
   ],
   "source": [
    "s2 = SnowNLP(text2)\n",
    "print(\",\".join(s1.words))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 505,
   "id": "de7d95d2-6e71-4439-8719-2a1c20eaff7e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:05.136899Z",
     "start_time": "2024-12-23T13:48:05.134462Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This,book,is,really,bad\n"
     ]
    }
   ],
   "source": [
    "s2 = SnowNLP(text2)\n",
    "print(\",\".join(s2.words))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "id": "50d6df2f-c1bc-4b79-8032-3aa20ddc046a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:05.357641Z",
     "start_time": "2024-12-23T13:48:05.355063Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.08477968777179568 0.03716274677826725\n"
     ]
    }
   ],
   "source": [
    "print(s1.sentiments,s2.sentiments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "id": "27d3837b-e802-41fd-9b79-198c3bc88778",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:06.289492Z",
     "start_time": "2024-12-23T13:48:06.286019Z"
    }
   },
   "outputs": [],
   "source": [
    "def snow_result(comment):\n",
    "    s = SnowNLP(comment)\n",
    "    if s.sentiments >= 0.05:\n",
    "        return 1\n",
    "    if s.sentiments < 0.05:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 508,
   "id": "4a381e46-ddc7-4621-b9ce-de753d71498d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:07.183182Z",
     "start_time": "2024-12-23T13:48:07.090295Z"
    }
   },
   "outputs": [],
   "source": [
    "data['snlp_result'] = data.comment.apply(snow_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 509,
   "id": "b33a4705-adf4-4a7d-9466-48337515e083",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:08.196714Z",
     "start_time": "2024-12-23T13:48:08.191481Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                               comment  rating  sentiment  \\\n",
      "0    *2 5I loved the idea of this book. The plot so...       2          0   \n",
      "1    (Actually more of a 3.5  but I'm feeling gener...       4          1   \n",
      "2    I really enjoyed this book  I don't usually re...       3          1   \n",
      "3    A masterpiece - I didn’t want it to end.“As I ...       5          1   \n",
      "4    This book is beautiful and awful at the same t...       4          1   \n",
      "..                                                 ...     ...        ...   \n",
      "348  Some years ago i watched the movie \"Red Shorgu...       4          1   \n",
      "349  Very good fictional story which introduces you...       4          1   \n",
      "350  How the author has used the red sorghum and cr...       5          1   \n",
      "351  Saw the movie already and have it on DVD in Ch...       0          0   \n",
      "352  10-11: A dark-blue substance was flowing on hi...       5          1   \n",
      "\n",
      "     snlp_result  \n",
      "0              0  \n",
      "1              0  \n",
      "2              0  \n",
      "3              0  \n",
      "4              0  \n",
      "..           ...  \n",
      "348            0  \n",
      "349            0  \n",
      "350            0  \n",
      "351            1  \n",
      "352            0  \n",
      "\n",
      "[353 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 510,
   "id": "cd5105aa-07fd-46e9-a171-3e023e4bdfff",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:25.364039Z",
     "start_time": "2024-12-23T13:48:25.357294Z"
    }
   },
   "outputs": [],
   "source": [
    "counts = 0\n",
    "for i in range(len(data)):\n",
    "    if data.loc[i,'sentiment'] == data.loc[i,'snlp_result']:\n",
    "        counts+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 511,
   "id": "e294b45d-8c9f-474b-b5f3-083b88297100",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:25.762717Z",
     "start_time": "2024-12-23T13:48:25.760550Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.35127478753541075\n"
     ]
    }
   ],
   "source": [
    "print(counts/len(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a6df32d-ed15-4d2c-b6ef-7bee9ac874ac",
   "metadata": {},
   "source": [
    "使用textblob进行情感分析（准确度较高）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 512,
   "id": "ad6dec50-a27e-45e6-902c-b1909f335aef",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:27.190073Z",
     "start_time": "2024-12-23T13:48:27.185313Z"
    }
   },
   "outputs": [],
   "source": [
    "from textblob import TextBlob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "id": "7d4e4fb1-4277-4c93-9852-bfe8aa2a2186",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:27.632823Z",
     "start_time": "2024-12-23T13:48:27.558375Z"
    }
   },
   "outputs": [],
   "source": [
    "data['snlp_result'] = data.comment.apply(snow_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 514,
   "id": "c9780997-fcec-428a-a6f4-2a50d11879fc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:28.130903Z",
     "start_time": "2024-12-23T13:48:28.123804Z"
    }
   },
   "outputs": [],
   "source": [
    "def analyze_sentiment(text):\n",
    "    blob = TextBlob(text)\n",
    "    polarity = blob.sentiment.polarity\n",
    "    subjectivity = blob.sentiment.subjectivity\n",
    "    return polarity, subjectivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 515,
   "id": "4f76647b-cad9-4d94-a913-1daba3e4a1bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:28.423879Z",
     "start_time": "2024-12-23T13:48:28.357543Z"
    }
   },
   "outputs": [],
   "source": [
    "data['polarity'], data['subjectivity'] = zip(*data['comment'].apply(analyze_sentiment))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "id": "e678aebd-e1cf-4e21-b9ea-4c68d1c316c6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:28.777100Z",
     "start_time": "2024-12-23T13:48:28.773361Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_textblob_result(polarity):\n",
    "    if polarity >= 0:\n",
    "        return 1\n",
    "    elif polarity < 0:\n",
    "        return 0\n",
    "data['textblob_result'] = data['polarity'].apply(get_textblob_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 517,
   "id": "e02ae86e-aa33-4e75-85ae-b9c6a11aa2d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:29.630202Z",
     "start_time": "2024-12-23T13:48:29.624454Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                               comment  rating  sentiment  \\\n",
      "0    *2 5I loved the idea of this book. The plot so...       2          0   \n",
      "1    (Actually more of a 3.5  but I'm feeling gener...       4          1   \n",
      "2    I really enjoyed this book  I don't usually re...       3          1   \n",
      "3    A masterpiece - I didn’t want it to end.“As I ...       5          1   \n",
      "4    This book is beautiful and awful at the same t...       4          1   \n",
      "..                                                 ...     ...        ...   \n",
      "348  Some years ago i watched the movie \"Red Shorgu...       4          1   \n",
      "349  Very good fictional story which introduces you...       4          1   \n",
      "350  How the author has used the red sorghum and cr...       5          1   \n",
      "351  Saw the movie already and have it on DVD in Ch...       0          0   \n",
      "352  10-11: A dark-blue substance was flowing on hi...       5          1   \n",
      "\n",
      "     snlp_result  polarity  subjectivity  textblob_result  \n",
      "0              0  0.109091      0.527273                1  \n",
      "1              0  0.162500      0.433333                1  \n",
      "2              0  0.027938      0.568793                1  \n",
      "3              0  0.162949      0.413333                1  \n",
      "4              0 -0.007870      0.598148                0  \n",
      "..           ...       ...           ...              ...  \n",
      "348            0  0.187374      0.550505                1  \n",
      "349            0  0.206167      0.466833                1  \n",
      "350            0  0.173704      0.628148                1  \n",
      "351            1  0.000000      0.000000                1  \n",
      "352            0 -0.083333      0.400000                0  \n",
      "\n",
      "[353 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 518,
   "id": "cd28fcf6-31bc-4685-80c3-b4f532d03d88",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:30.638229Z",
     "start_time": "2024-12-23T13:48:30.631527Z"
    }
   },
   "outputs": [],
   "source": [
    "counts = 0\n",
    "for i in range(len(data)):\n",
    "    if data.loc[i,'sentiment'] == data.loc[i,'textblob_result']:\n",
    "        counts+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 519,
   "id": "114a00fc-2b4a-468e-8e1e-685384565a94",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:48:31.167127Z",
     "start_time": "2024-12-23T13:48:31.164845Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6260623229461756\n"
     ]
    }
   ],
   "source": [
    "print(counts/len(data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 521,
   "id": "b3122fa2-966e-45e2-a82d-c20e64dde616",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "总数量353\n"
     ]
    }
   ],
   "source": [
    "polarity_values = data['polarity']\n",
    "comments = data['comment']\n",
    "print(f'总数量{len(polarity_values)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 522,
   "id": "263919fe-c5d9-4a08-bcb0-65acb04aa11a",
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_count = 0\n",
    "negative_count = 0\n",
    "neutral_count = 0\n",
    "total_count = len(polarity_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 523,
   "id": "d978688e-286f-4656-a24f-f298ea8a486a",
   "metadata": {},
   "outputs": [],
   "source": [
    "positive_polarities = []\n",
    "positive_comments = []\n",
    "negative_polarities = []\n",
    "negative_comments = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 524,
   "id": "69f69a7c-d230-41ba-a391-9f896e227f98",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_polarity = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 525,
   "id": "045c897a-92fc-4c42-9678-d272dbdb844c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "积极数量:223,消极数量100: ,中立数量:30\n"
     ]
    }
   ],
   "source": [
    "# 遍历每个 polarity 值进行统计\n",
    "for i, polarity in enumerate(polarity_values):\n",
    "    if polarity > 0:\n",
    "        positive_count += 1\n",
    "        positive_polarities.append(polarity)\n",
    "        positive_comments.append(comments[i])\n",
    "    elif polarity < 0:\n",
    "        negative_count += 1\n",
    "        negative_polarities.append(polarity)\n",
    "        negative_comments.append(comments[i])\n",
    "    else:\n",
    "        neutral_count += 1\n",
    "    # 累加情感极性值\n",
    "    total_polarity += polarity\n",
    "print(f'积极数量:{positive_count},消极数量{negative_count}: ,中立数量:{neutral_count}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 526,
   "id": "33dc4958-99a1-407a-84dc-44a075736541",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算正向和负向评论的百分比\n",
    "positive_percentage = (positive_count / total_count) * 100\n",
    "negative_percentage = (negative_count / total_count) * 100\n",
    "neutral_percentage = (neutral_count / total_count) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "id": "d3bb3848-b283-4876-89b0-e7c1cdbd65b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "情感极性均值:0.08611537929498521\n"
     ]
    }
   ],
   "source": [
    "# 计算情感极性均值\n",
    "average_polarity = total_polarity / total_count\n",
    "print(f'情感极性均值:{average_polarity}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "id": "d00c2a7a-295c-4f25-a505-9da5a537886f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正向情感极性均值:0.2132721728285559\n"
     ]
    }
   ],
   "source": [
    "# 计算正向情感极性均值\n",
    "if positive_polarities:\n",
    "    positive_average = sum(positive_polarities) / len(positive_polarities)\n",
    "else:\n",
    "    positive_average = 0\n",
    "print(f'正向情感极性均值:{positive_average}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "id": "17ddcfe7-fd3a-4601-a662-ec19b91311ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "负向情感极性均值:-0.17160965649638185\n"
     ]
    }
   ],
   "source": [
    "# 计算负向情感极性均值\n",
    "if negative_polarities:\n",
    "    negative_average = sum(negative_polarities) / len(negative_polarities)\n",
    "else:\n",
    "    negative_average = 0\n",
    "print(f'负向情感极性均值:{negative_average}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "id": "9a5575b4-a33d-438b-b02f-8f456475e82d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 筛选积极极性值排名前 30% 的句子\n",
    "positive_top_index = int(len(positive_polarities) * 0.3)\n",
    "positive_sorted = sorted(zip(positive_polarities, positive_comments), reverse=True)\n",
    "positive_top_30 = positive_sorted[:positive_top_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "id": "c986d008-c023-4405-bdb4-ff0f84c5e2e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 筛选消极极性值排名前 30% 的句子\n",
    "negative_top_index = int(len(negative_polarities) * 0.3)\n",
    "negative_sorted = sorted(zip(negative_polarities, negative_comments))\n",
    "negative_top_30 = negative_sorted[:negative_top_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "id": "c1ae7de5-cf5c-4c53-ab6f-3cb66da85f99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "积极评论条数: 223\n",
      "消极评论条数: 100\n",
      "中立评论条数: 30\n",
      "Positive comments percentage: 63.17%\n",
      "Negative comments percentage: 28.33%\n",
      "Neutral comments percentage: 8.50%\n",
      "整体情感极性均值: 0.0861\n",
      "正向情感极性均值: 0.2133\n",
      "负向情感极性均值: -0.1716\n"
     ]
    }
   ],
   "source": [
    "# 输出结果\n",
    "print(f\"积极评论条数: {positive_count}\")\n",
    "print(f\"消极评论条数: {negative_count}\")\n",
    "print(f\"中立评论条数: {neutral_count}\")\n",
    "print(f\"Positive comments percentage: {positive_percentage:.2f}%\")\n",
    "print(f\"Negative comments percentage: {negative_percentage:.2f}%\")\n",
    "print(f\"Neutral comments percentage: {neutral_percentage:.2f}%\")\n",
    "print(f\"整体情感极性均值: {average_polarity:.4f}\")\n",
    "print(f\"正向情感极性均值: {positive_average:.4f}\")\n",
    "print(f\"负向情感极性均值: {negative_average:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 536,
   "id": "099da51a-6313-4c6b-bdfe-44baee24b6d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "积极极性值排名前 30% 的句子:\n",
      "极性值: 1.0, 评论: This story is very great.\n",
      "极性值: 1.0, 评论: Magnificent. Absolutely perfect.\n",
      "极性值: 1.0, 评论: I am impressed the way Mo Yan writes. Genius story teller.\n",
      "极性值: 1.0, 评论: Excellent translation of a visceral book.\n",
      "极性值: 0.9099999999999999, 评论: very good.\n",
      "极性值: 0.9099999999999999, 评论: Very good\n",
      "极性值: 0.875, 评论: Gorgeous read!\n",
      "极性值: 0.75, 评论: More like a painting than a novel  and masterfully crafted.\n",
      "极性值: 0.675, 评论: Beautiful descriptions of nature in northeast China  a lot of violence  a lot of drinking. Interesting though. \n",
      "极性值: 0.65, 评论: The voice is powerful  excellent descriptions of people  places  humans and nature. \n",
      "极性值: 0.625, 评论: Absoluut in mijn top 10 mooiste boeken!\n",
      "极性值: 0.6, 评论: if you liked Siddhartha you’ll probably like this too\n",
      "极性值: 0.5787500000000001, 评论: Mo Yan's masterpiece is a very powerful book  though it's not his best book in my opinion. Characters are vivid and unforgettable  as well as the setting. And Mo Yan's style hits the reader like a knife.\n",
      "极性值: 0.55, 评论: - surreal  and incredibly beautiful story. \n",
      "极性值: 0.5333333333333333, 评论: a great work!i love it.i have fun with the book.\n",
      "极性值: 0.5178571428571429, 评论: It's an amazing read  the descriptions are truly original and beautiful with lots of comical views and evocative metaphors. Love  family  honour  courage and bravery are all captured in this epic tale. I loved it.\n",
      "极性值: 0.5, 评论: a magical story of three generations harrowing experiences \n",
      "极性值: 0.5, 评论: One of my favorite books of all time \n",
      "极性值: 0.5, 评论: An absolute masterpiece  fantastic narration  powerful emotions and amazing writing. What a wonderful book!\n",
      "极性值: 0.46875, 评论: surprisingly good english version. didnt have the motivation to pick up the original version. this novel shows the absurdities and cruelties in china during the great wars\n",
      "极性值: 0.45499999999999996, 评论: 300+ pages of graphic violence. War  war crimes  etc. Very good writing but it gives me PTSD just from reading it.\n",
      "极性值: 0.4547619047619048, 评论: Mo Yan's portrait of rural China is painfully honest and graphic but his exquisite language provides a beautiful balance.Not an easy read but well worth it.\n",
      "极性值: 0.45, 评论: That was about as enjoyable as reading incredibly detailed descriptions of a variety of war crimes could be  I suppose.\n",
      "极性值: 0.45, 评论: A beautiful  magnificent  and sadly majestic novel.\n",
      "极性值: 0.44999999999999996, 评论: One of the rare times that I was thrilled by a film and reading the book afterwards was a deception.\n",
      "极性值: 0.43333333333333335, 评论: Mankind’s cruelties from one another. Dislikes  pagan  war  dogs - oh my! Interesting book on the Japanese occupation of China in WWII. Great insight into the life and times of this era.\n",
      "极性值: 0.43333333333333335, 评论: A strong prose describing the horrors of war.\n",
      "极性值: 0.425, 评论: A beautiful saga of family history tormented by japenese invasion and chinese civil war.\n",
      "极性值: 0.42000000000000004, 评论: A marvelous book. I've seen the Film https://en.wikipedia.org/wiki/Red_Sor... early in my youth and the film made a big impression. It is still one of my all-time best. Now  finally  I've read the book and everything gets \"closure\" and I recommend both (book and film) to everybody. \n",
      "极性值: 0.4166666666666667, 评论: One of the best “China in WW2” books ever written. The narrative timeframe is genius  and the prose is simultaneously sweet and bitter. \n",
      "极性值: 0.4, 评论: The Garcia Márquez comparisons fit. \n",
      "极性值: 0.375, 评论: just wanted to rate it  the novel have uniqe way of telling the stories of the three generations. i my self just started the habit of reading and this book is the first book that i able to finished reading. now i need to find a book that is similiar to it so i can continue to read book again.\n",
      "极性值: 0.375, 评论: Not my favorite book  although insightful and masterfully written. Using one of the characters’ words  ‘China might have nothing else but it’s got plenty of people’  that is why it is soo red. Even if it desired  sorghum could not be nothing but red. \n",
      "极性值: 0.37142857142857144, 评论: WOW!What a powerful and brilliant novel  and kudos to the translator. No wonder this novel won the Pulitzer Prize for Literature. It’s stunningly brilliant. I’m only embarrassed to acknowledge that the only discovered it more than 30 years later.\n",
      "极性值: 0.369047619047619, 评论: Clearly  this is not a book for all people. Clearly  the author is very gifted  the Nobel Award recognition is well deserved. There are some magistral scenes in the book  but those not having a strong stomach  just be prepared  this book might not be for you. Not one of the my most favorite readings  but it has worth the try.\n",
      "极性值: 0.36428571428571427, 评论: I loved this beautifully written book about a family surviving the turmoil of war. Most of the book takes place during the invasion of China by the Japanese . The description of the red sorghum during the different seasons is a reoccurring image in the book . I really enjoyed it. \n",
      "极性值: 0.35, 评论: Enjoyed so much to read it.\n",
      "极性值: 0.34953703703703703, 评论: A marvelous peasant epic across 50 years of modern China - and all the dramas this little Chinese Macondo has to deal with. Splendidly written  it merges poetry and muck  perfectly representing the intense lives portraited by this totally deserved Nobel prize winner. \n",
      "极性值: 0.3375, 评论: Reading foreign books (especially ones that cover a global event like World War 2  as this  The Plague  Svetlana Alexievich's books  and the poems of Gabriela Mistral have done) has been an interesting experiment this year. I'm seeing some beautiful writing and how each nation produces writing that differs  even if it's covering the same atrocities.Red Sorghum is some of the best writing I've read yet. Mo Yan packs this novel with awe-striking imagery  exceptional prose  and metaphors that are among the best I've ever read. This book is a bit slow  though  and if I could give half stars it would fall to 3.5. I just wish that it had been a bit more exciting  and then it could've maybe entered my top 10 reads of the year.\n",
      "极性值: 0.3375, 评论: Beautifully written and vivid  a unique structure  and distinctly Chinese style. \n",
      "极性值: 0.335, 评论: My favorite book by Mo Yan. What a story! Totally gripping. Its' set in his native province Shandong and tells the story of his grandmother  who lived through the war against Japan. It's tragic  but also amazingly well narrated. There is also a gorgeous movie about this book. \n",
      "极性值: 0.3333333333333333, 评论: Super bog. Den kan kun anbefales\n",
      "极性值: 0.3333333333333333, 评论: Great use of English language  the author has really a way to describe with fantasy \n",
      "极性值: 0.32499999999999996, 评论: Not the first Mo Yan's novel I read but compare to Frog  I see a huge writing development from him within a decade.\n",
      "极性值: 0.32083333333333336, 评论: I should have given 4/5. It is a good book. well written and undoubtedly the author deserves the Nobel prize. However the book is extremely specific. It is like a famous contemporary sculpture. First of its kind  acclaimed but not entertaining nor nice nor usefull. All in all my pleasure and experience ends with 3/5.\n",
      "极性值: 0.31757575757575757, 评论: I listened to this as an audiobook which maybe wasn't the best idea  it was very long and there were a lot of names and timelines to keep up with. Even so  I got the experience of Yans poetic language and the red sorghum did in fact come to life pretty well in the audiobook edition. I'm a big fan of epic novels describing generations of a family or society  Homegoing and The Thorn Birds are two previous reads I enjoyed  and this is no exception. This is a perfect way to learn a slice of history while being entertained and enjoying the writing.\n",
      "极性值: 0.3166666666666667, 评论: Stunning imagery  powerful symbolism in nature and the colors used to describe it. Excellent and compelling use of time in the memoir format. It is a deeply beautiful and troubling book. I had a hard time getting through parts due to how graphic it was in its accounting of violence and it’s effects.\n",
      "极性值: 0.31666666666666665, 评论: Fantastic. A story etched out of and into the heart of a people. Surprisingly fun and funny as well.\n",
      "极性值: 0.3111111111111111, 评论: The sequence of events was jumping from one era to the other...I liked it in some portions though...I could not get that quick connect with the book and almost left reading at the end...\n",
      "极性值: 0.30238095238095236, 评论: Fine and quite interesting book. But I doubt if he'd won a noble for it if he weren't Chinese.Why to read?- Because the plot is quite interesting  and the writing is solid.- Because it teaches you a lot about China under Japanese occupation  and gives you the scent of a far away culture.Why not to read?- One of the scenes at the book is horrid. I seldom skip scenes at books  but this one I couldn't read. If you don't like Gore  don't read it. \n",
      "极性值: 0.3, 评论: Thrilling war fiction. Full of war  death  life  love  virtue and misvirtue. Worthwhile Chinese experience. A very dear one indeed.\n",
      "极性值: 0.3, 评论: Relentless. This book is relentless. Relentless violence. Relentless blood. Relentless guts. Relentless horror. If you can wade through this field of corpses in varying states of putrefaction and find some kind of meaning  more power to you. I cannot. Oh  and did I mention that the only female character gets raped  likes it  and falls in love with her rapist? There's that as well. I managed to get about halfway through  hoping beyond hope that there might be some humanity somewhere... ...and then I decided to quit and find a book that wouldn't necessitate keeping a throw-up bucket next to my chair. If you enjoyed The Tin Drum you might like it though. \n",
      "极性值: 0.2791666666666667, 评论: The book is beautifully written  but for some reason  I had a hard time getting into it. The story just didn’t captivate me.\n",
      "极性值: 0.275, 评论: I expected more from a Nobel Prize winning author. Too much war and violence for my taste.\n",
      "极性值: 0.275, 评论: China's Buried BattlefieldsMo Yan's use of magical realism to depict China's tortured history in the long 20th century penetrates me deeply. I am left with a mysterious sense of intimacy with another civilization's history. I have no idea how this is accomplished. Unforgettable  this is the kind of literature that also fills me with gratitude. Thank-you once again  Mo Yan!\n",
      "极性值: 0.27355769230769234, 评论: The language is absolutely mesmerising.. It takes you to the places the author is described so vividly.. Each event described leaves an impression of raw nature... Wonderful read\n",
      "极性值: 0.27166666666666667, 评论: So beautifully written; Often hard to stomach  unforgettable. This is my second time reading  and the deep feelings invoked 20 years ago did justice again to Mo Yan's tale.\n",
      "极性值: 0.26689814814814816, 评论: easily one of the saddest and most poignant books i've ever read  it's incredible how the author takes a death at the beginning and makes its emotional impact last all the way until the end. Like a lingering ghost  the war epic is haunted by this injustice. Also  there's no sentence that inspires such a unique mix of anticipation and fear as \"It's that son of a bitch Pocky Leng!\" \n",
      "极性值: 0.2555555555555556, 评论: This is a visceral read about a chaotic period of Chinese History. I love the book  but I also am a huge Chinese history nerd. So far everyone I’ve recommended it to hasn’t even been able to finish it. This rating is definitely representative of how much I liked the book and not how much others will. \n",
      "极性值: 0.25555555555555554, 评论: Mo Yan masterfully navigates the tragic tapestry of northeastern China during its occupation by Japan (1937-1945)  amidst the tumult of the Chinese Civil War. Through vivid flashbacks and poetic prose  the narrative delves deep into the soul of a community  portraying the intense horrors and resilient humanity of those times. The novel serves as a brutally honest reflection of history and human nature  offering a compelling  albeit challenging  literary journey. Mo Yan's storytelling is both harrowing and captivating  immersing the reader in a visceral exploration of suffering and survival. Each page is imbued with a profound sense of place and time  making it an unforgettable read.\n",
      "极性值: 0.2508503401360544, 评论: Brilliantly crafted. The arrangement of the narration and imageries are particularly noteworthy. Mo Yan's writing perfectly thread the thin line between fiction and reality. Nothing is overly descriptive or melodramatic  yet the full extent of the story is conveyed to the reader. I am convinced that no picture  movie or memory would have allowed for such realistic yet impactful telling. His descriptions are precise so that the entire picture is painted as clearly as reality and his imageries deliver the emotions rendered by the various conflicts perfectly without excess.I do not regret a single moment spent on this book.\n",
      "极性值: 0.25, 评论: mo yan GOAT chinese magic realism\n",
      "极性值: 0.25, 评论: Genealogy. Lots of sorghum. The Chinese. Family history. Many narrators and stories.\n",
      "极性值: 0.24583333333333335, 评论: I enjoyed this one more than the one with the garlic  it offers a unique perspective on the Japanese occupation of China during WWII  but also on the internal conflict between nationalists and communists. \n",
      "极性值: 0.24517045454545455, 评论: WOW! this was really good. REALLY GOOD. characters  setting  history was absolutely ALIVE. red sorghum fields. red sorghum fields. this really nailed it for me. if you like this one i recommend to live by yu hua. another one of my favorites. \n",
      "极性值: 0.24500000000000002, 评论: Vividly captures the human toll of the second Sino-Japanese war. Mo Yan seems to delight in obscenity  but it mostly works in service of the text here. I have some quibbles about pacing  but I really liked this.\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n积极极性值排名前 30% 的句子:\")\n",
    "for polarity, comment in positive_top_30:\n",
    "    print(f\"极性值: {polarity}, 评论: {comment}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "id": "a1da3f60-6de9-44e3-b2cf-0bb2f41f252c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "消极极性值排名前 30% 的句子:\n",
      "极性值: -1.0, 评论: It’s going to take a while to compose all of my thoughts on this one. All I can say is that this is a book of devastating beauty. No one else writes like Mo Yan. \n",
      "极性值: -0.875, 评论: Brutal. \n",
      "极性值: -0.8, 评论: Bloody and shattering.\n",
      "极性值: -0.6875, 评论: 3.5Beautiful writing. Brutal story. Difficult to read.\n",
      "极性值: -0.6, 评论: I AM DESTROYED. THIS BOOK. THIS FUCKING BOOK. \n",
      "极性值: -0.52, 评论: This is a book about war. Much of it is bloody and gruesome. Sorghum is all over the place  but you begin to wonder if the plant is really red or just bloody from the villager’s struggle to battle the Japanese invaders during WWII.\n",
      "极性值: -0.51875, 评论: A dark  brutal  violent tale  repetitive cruelty  a book I could not or felt I had to finish.\n",
      "极性值: -0.5, 评论: A book not for a faint heart. \n",
      "极性值: -0.5, 评论: OMG such violence and gruesome tortures....\n",
      "极性值: -0.5, 评论: This is one of the worst books ever  and I would like to save you from 360 pages of agonizingly awful reading by neatly summarizing it in this review. Here you go:War  death  blood  sorghum. Gore  guns  putrefaction  sorghum  rape  sorghum. Filth  violence  sorghum  dog war  intestines  sorghum. Sorghum  pus  swords  grenades  sorghum. Death  sorghum  war  sorghum  violence  sorghum  death  sorghum. To sum up: spare yourself this horror unless you really  really fucking love sorghum.\n",
      "极性值: -0.45064102564102565, 评论: Lyrical  insightful  brutal  absorbing - a glimpse of life within a poor  ordinary yet dysfunctional family  during a terrible time in Chinese history. At once horrific and heartwarming  this novel is written with a raw  startling honesty. I've never read anything like it. Kudos to the translator  Howard Goldblatt  too.\n",
      "极性值: -0.42500000000000004, 评论: I wanted to vomit. I wanted to cry. What a strange  violent book that dislocated the mind from the memory of saccharin emotion. \n",
      "极性值: -0.415, 评论: Very well writen  no doubt. But very heavy style.A desperate attempt to give meaning to a horrible history.\n",
      "极性值: -0.3935897435897436, 评论: Raw  bloody and thought provoking history from the dark times of the Sino-Japanese war.\n",
      "极性值: -0.3625, 评论: it’s violent  it’s heavy  it’s absurd  it’s a lot. War is awful and it’s consequential terrors are unnecessary. The red sorghum is a constant throughout  it serves as a witness to it all. “If I weren’t a man myself  and if I were holding the sword of vengeance in my hand  I’d slaughter every last man on earth!” \n",
      "极性值: -0.35, 评论: Awful depiction of violence on all levels--why this deserves the Nobel prize is beyond me. Also--very choppy in its flashback sequences--to the point I was disoriented in the story line. Unless you are a big fan of this author  don't waste your time.\n",
      "极性值: -0.35, 评论: Intensely painful... a book I will remember  but probably never come back to...\n",
      "极性值: -0.31666666666666665, 评论: The translation killed it. Economy lamp =/= \"bu sheng you de deng\" a chinese phrase to describe a spendy women.\n",
      "极性值: -0.3, 评论: I wanted to like this book  but 27 pages in and I just have a mule with its Achilles tendon hacked  another dead with a hoe through its head  and a soldier flayed alive. Too violent for me. \n",
      "极性值: -0.296875, 评论: How I loathe hybrid sorghum.Reading this was like hearing my mom tell me stories when I was little. The romantic prose bordering on poetry  yet mixed with gruesome detail. The disjoint narratives. The remembering of family history. \n",
      "极性值: -0.2875, 评论: This book is horrific and full of anguish. At times distressing  at others gripping but felt boring and drawn out.\n",
      "极性值: -0.2625, 评论: This book will stay with me forever. Mo Yan’s writing style is brutal naturalism with a huge doze of dark humor. His crude descriptions of China amidst civil war and Japanese invasion were gut-wrenching. And yet  I caught myself laughing during some of those morbid and unbelievable dark-humor scenes.\n",
      "极性值: -0.25, 评论: Too repetitive.\n",
      "极性值: -0.2388888888888889, 评论: Not easy for a Westerner to unpack  I think  since it breaks all the \"rules\" of literature we learned as children? And definitely not for the faint of heart. Content notes: do not read while eating. \n",
      "极性值: -0.23333333333333336, 评论: Be prepared for lots of blood and lots of sorghum. It is violent. Though I had no trouble understanding the story and the English is correct  I don’t think the translation works well. \n",
      "极性值: -0.225, 评论: A book with a tumult of images  unfortunately  remained uninteresting for me. I couldn't grasp any messages (if any)  and the cultural references/anectodes were strangely exaggerated. Even with a high-level historical background on the area's history (14th-21st century)  you might be lost.\n",
      "极性值: -0.225, 评论: Liked it but difficult to read... gruesome  graphic  and often troubling. \n",
      "极性值: -0.20833333333333334, 评论: Glorious  passionate  vivid - almost painfully so. \n",
      "极性值: -0.19062500000000002, 评论: I listened to this through audible. An epic story about 4 generations of a chinese family  centered somewhat around the brutal Japanese occupation. In places it is violent and bloodthirsty  not for the faint hearted! The narrative often switches back and forward to different times with the family which was a little confusing in places. An incredible story.\n",
      "极性值: -0.19, 评论: Finally forced myself to finish this book. By far the most boring and pointless Mo Yan novel I've read.\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n消极极性值排名前 30% 的句子:\")\n",
    "for polarity, comment in negative_top_30:\n",
    "    print(f\"极性值: {polarity}, 评论: {comment}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cce260bd-8919-4eb4-bf31-7d21459065d9",
   "metadata": {},
   "source": [
    "数据清洗与分词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "id": "499be582-203b-4729-b7c1-320cc81a34fa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:04.253105Z",
     "start_time": "2024-12-23T13:50:01.012341Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt_tab to\n",
      "[nltk_data]     C:\\Users\\fyved\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt_tab is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 539,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('punkt_tab') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "id": "0fc62c87-8327-4e73-84f7-ae7551d42aab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:07.108714Z",
     "start_time": "2024-12-23T13:50:07.105108Z"
    }
   },
   "outputs": [],
   "source": [
    "from nltk import word_tokenize  #导入分词模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "id": "a6c2bb60-8aac-4294-a617-24c1c5f4ef17",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import WordListCorpusReader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "id": "6992304a-0615-4278-88ec-d43752cd3634",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:07.505017Z",
     "start_time": "2024-12-23T13:50:07.482474Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.read_excel('有效数据.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "id": "cda0bfc2-3427-4af0-a4fc-8b7042f1a7b0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:07.814809Z",
     "start_time": "2024-12-23T13:50:07.811377Z"
    }
   },
   "outputs": [],
   "source": [
    "df=pd.DataFrame(data,columns=['comment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "id": "f34c9b6a-57c3-48d5-a0c9-8c8fc2d92bd1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:08.461170Z",
     "start_time": "2024-12-23T13:50:08.454675Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>*2 5I loved the idea of this book. The plot so...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(Actually more of a 3.5  but I'm feeling gener...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I really enjoyed this book  I don't usually re...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A masterpiece - I didn’t want it to end.“As I ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>This book is beautiful and awful at the same t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>As someone who's typically interested in war-r...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>This book is like a classic Chinese novel in i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Well-written  haunting  plenty of new perspect...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>When reading this novel  I was motivated by tw...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>I’m grateful I read this book. It was tough  t...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             comment\n",
       "0  *2 5I loved the idea of this book. The plot so...\n",
       "1  (Actually more of a 3.5  but I'm feeling gener...\n",
       "2  I really enjoyed this book  I don't usually re...\n",
       "3  A masterpiece - I didn’t want it to end.“As I ...\n",
       "4  This book is beautiful and awful at the same t...\n",
       "5  As someone who's typically interested in war-r...\n",
       "6  This book is like a classic Chinese novel in i...\n",
       "7  Well-written  haunting  plenty of new perspect...\n",
       "8  When reading this novel  I was motivated by tw...\n",
       "9  I’m grateful I read this book. It was tough  t..."
      ]
     },
     "execution_count": 544,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "id": "33461e83-920a-4b9f-99c7-2707dfed9702",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fyved\\AppData\\Local\\Temp\\ipykernel_14404\\2391864935.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  common_word_dict=pd.read_csv('C:\\\\Users\\\\fyved\\\\数据分析\\\\dict.txt',names=['w'],sep='aaa',encoding='Utf-8').values\n"
     ]
    }
   ],
   "source": [
    "common_word_dict=pd.read_csv('C:\\\\Users\\\\fyved\\\\数据分析\\\\dict.txt',names=['w'],sep='aaa',encoding='Utf-8').values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 546,
   "id": "c5fa84c4-cb61-41da-a8f9-af2cc7800bbe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-12-23T13:50:09.173783Z",
     "start_time": "2024-12-23T13:50:09.121802Z"
    }
   },
   "outputs": [],
   "source": [
    "tokenized_word = word_tokenize(' '.join(data['comment'].astype(str)))\n",
    "tokenized_word = [w.lower() for w in tokenized_word]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 547,
   "id": "2ff19b33-945d-46c8-91aa-c4e76961c2f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokens = []\n",
    "i = 0\n",
    "while i < len(tokenized_word):\n",
    "    for length in range(3, 0, -1):  # 尝试 3 个词、2 个词、1 个词的组合\n",
    "        if i + length <= len(tokenized_word):\n",
    "            combined = \" \".join(tokenized_word[i:i + length])\n",
    "            if combined in common_word_dict:\n",
    "                tokens.append(combined)\n",
    "                i += length\n",
    "                break\n",
    "    else:\n",
    "        tokens.append(tokenized_word[i])\n",
    "        i += 1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "122cdfad-b9f2-478b-8321-583089718a88",
   "metadata": {},
   "source": [
    "去除停用词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 548,
   "id": "e0c39b7e-b1ef-4786-8290-d03b167f34d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fyved\\AppData\\Local\\Temp\\ipykernel_14404\\2557451581.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  stopwords=pd.read_csv('C:\\\\Users\\\\fyved\\\\数据分析\\\\stopwords.txt',names=['w'],sep='aaa',encoding='Utf-8').values\n"
     ]
    }
   ],
   "source": [
    "stopwords=pd.read_csv('C:\\\\Users\\\\fyved\\\\数据分析\\\\stopwords.txt',names=['w'],sep='aaa',encoding='Utf-8').values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 549,
   "id": "d9ede711-fb10-4612-b313-416ecb815981",
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_words = []\n",
    "# 使用 words() 方法获取可迭代的单词列表\n",
    "for word in tokens:\n",
    "    if (word not in stopwords) and (word != '\\n'):\n",
    "        filtered_words.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 550,
   "id": "25e4ade4-1ecc-4eed-b282-9fb6bf2ab814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 550,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'red sorghum' in filtered_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "31e40598-7d86-4098-a7fb-22741753e2d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>loved</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>idea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>plot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sounded</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>impressive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hopes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>favorites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>sadly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>aspects</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>sit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>me.i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>absolutely</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>hated</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>domestic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>violence</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>polygamy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>natural</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>condemned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>mo yan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>gifted</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>writer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>portray</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>cultural</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>aspects</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>protagonists</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>brought</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>closer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>chinese</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            word\n",
       "0              2\n",
       "1             5i\n",
       "2          loved\n",
       "3           idea\n",
       "4           plot\n",
       "5        sounded\n",
       "6     impressive\n",
       "7          hopes\n",
       "8      favorites\n",
       "9          sadly\n",
       "10       aspects\n",
       "11           sit\n",
       "12          me.i\n",
       "13    absolutely\n",
       "14         hated\n",
       "15      domestic\n",
       "16      violence\n",
       "17      polygamy\n",
       "18       natural\n",
       "19     condemned\n",
       "20        mo yan\n",
       "21        gifted\n",
       "22        writer\n",
       "23       portray\n",
       "24      cultural\n",
       "25       aspects\n",
       "26  protagonists\n",
       "27       brought\n",
       "28        closer\n",
       "29       chinese"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.DataFrame(filtered_words,columns=['word'])\n",
    "df.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31bf5ea7-3dca-4fc6-96da-f4e5d4d44ffc",
   "metadata": {},
   "source": [
    "运用tf-idf计算关键词的权重值并绘制词云图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "2b2e901a-9424-4462-9242-0b4779848809",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.decomposition import LatentDirichletAllocation\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "bd3618ed-f28f-4eec-a0b1-17a79a42c3de",
   "metadata": {},
   "outputs": [],
   "source": [
    "vectorizer = TfidfVectorizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "42af475f-d65f-4c4f-9926-9f6f7927395b",
   "metadata": {},
   "outputs": [],
   "source": [
    "tfidf_matrix = vectorizer.fit_transform(filtered_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "45f23885-cfac-440b-9e71-c78761366823",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_names = vectorizer.get_feature_names_out()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "7d79d166-334a-435f-8256-672c0a9f8185",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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0.809132626193501), ('before', 0.809132626193501), ('effect', 0.809132626193501), ('themselves', 0.809132626193501), ('praised', 0.809132626193501), ('is', 0.809132626193501), ('she', 0.7988090269931996), ('we', 0.7970845100365289), ('google', 0.7970845100365289), ('creative', 0.7952807849181777), ('reelingly', 0.7914042206214587), ('grief', 0.7914042206214587), ('shamrock', 0.7893125181900791), ('passies', 0.7893125181900791), ('existent', 0.7871033209597604), ('noordoost', 0.7871033209597604), ('sequential', 0.7871033209597604), ('am', 0.7847626721342573), ('giapponese', 0.7796171775519188), ('might', 0.7796171775519188), ('second', 0.7767679663317187), ('willed', 0.7736962027206549), ('wrencing', 0.7736962027206549), ('wrenchingly', 0.7736962027206549), ('stalked', 0.7703640396072899), ('has', 0.7703640396072899), ('apparently', 0.7703640396072899), ('congee', 0.7667229973471045), ('laser', 0.7667229973471045), ('phonetics', 0.7667229973471045), ('onbeschrijflijk', 0.7667229973471045), ('another', 0.7667229973471045), ('farm', 0.7667229973471045), ('written', 0.7627095436258874), ('handed', 0.7627095436258874), ('worn', 0.7627095436258874), ('five', 0.7627095436258874), ('would', 0.7627095436258874), ('ed', 0.7627095436258874), ('superb', 0.7582380973440481), ('rabbits', 0.7582380973440481), ('structurally', 0.7582380973440481), ('11', 0.7582380973440481), ('perhaps', 0.7531894080100935), ('bonding', 0.7531894080100935), ('although', 0.7531894080100935), ('high', 0.7531894080100935), ('going', 0.747390060901818), ('naming', 0.747390060901818), ('150', 0.747390060901818), ('edit', 0.747390060901818), ('balance', 0.747390060901818), ('around', 0.747390060901818), ('sapphire', 0.7405734466671678), ('fable', 0.7405734466671678), ('indian', 0.7405734466671678), ('fleshed', 0.7405734466671678), ('from', 0.7405734466671678), ('600', 0.7405734466671678), ('opener', 0.7405734466671678), ('imperialism', 0.7405734466671678), ('no', 0.7405734466671678), ('beware', 0.7405734466671678), ('qu', 0.7405734466671678), ('una', 0.7322974276531978), ('put', 0.7322974276531978), ('purple', 0.7322974276531978), ('doc', 0.7322974276531978), ('est', 0.7322974276531978), ('60s', 0.7322974276531978), ('stemmed', 0.7322974276531978), ('nothing', 0.7322974276531978), ('work', 0.7322974276531978), ('anectodes', 0.7322974276531978), ('many', 0.7322974276531978), ('ww', 0.7322974276531978), ('yet', 0.7217437057715248), ('colours', 0.7217437057715248), ('by', 0.7217437057715248), ('point', 0.7217437057715248), ('superstition', 0.7217437057715248), ('whether', 0.7217437057715248), ('had', 0.7217437057715248), ('inch', 0.7217437057715248), ('encouraging', 0.7217437057715248), ('because', 0.7217437057715248), ('while', 0.7217437057715248), ('conspecifics', 0.7217437057715248), ('disconnect', 0.7217437057715248), ('omni', 0.7217437057715248), ('awe', 0.7217437057715248), ('thank', 0.7217437057715248), ('billed', 0.7217437057715248), ('criss', 0.7071067811865476), ('cross', 0.7071067811865476), ('much', 0.7071067811865476), ('25', 0.7071067811865476), ('mid', 0.7071067811865476), ('1920', 0.7071067811865476), ('135', 0.7071067811865476), ('157', 0.7071067811865476), ('anthropomorph', 0.7071067811865476), ('ing', 0.7071067811865476), ('skull', 0.7071067811865476), ('fracturing', 0.7071067811865476), ('pg', 0.7071067811865476), ('13', 0.7071067811865476), ('fenglian', 0.7071067811865476), ('an', 0.7071067811865476), ('pages', 0.7071067811865476), ('please', 0.7071067811865476), ('may', 0.7071067811865476), ('will', 0.7071067811865476), ('broad', 0.7071067811865476), ('leafed', 0.7071067811865476), ('order', 0.7071067811865476), ('unless', 0.7071067811865476), ('world', 0.7071067811865476), ('weary', 0.7071067811865476), ('worldwide', 0.7071067811865476), ('anyway', 0.7071067811865476), ('though', 0.7071067811865476), ('ignoring', 0.7071067811865476), ('old', 0.7071067811865476), ('timey', 0.7071067811865476), ('regurgitated', 0.7071067811865476), ('interesting', 0.7071067811865476), ('be', 0.7071067811865476), ('ps', 0.7071067811865476), ('semi', 0.7071067811865476), ('lawless', 0.7071067811865476), ('14th', 0.7071067811865476), ('21st', 0.7071067811865476), ('self', 0.7071067811865476), ('conscious', 0.7071067811865476), ('的深度和力度', 0.7071067811865476), ('才是真正的大悲悯', 0.7071067811865476), ('regardless', 0.7071067811865476), ('even', 0.7071067811865476), ('side', 0.6561622221093887), ('factly', 0.637081381110171), ('your', 0.6177105884569132), ('his', 0.6143770815745788), ('domesticated', 0.603788751476114), ('back', 0.5986611977583387), ('forth', 0.5986611977583387), ('regiments', 0.5934529439119848), ('booksta', 0.5852355234360027), ('twitter', 0.5852355234360027), ('youtube', 0.5289090230796819), ('anzlitlovers', 0.46754056461137106), ('09', 0.46754056461137106), ('org', 0.46674725685252033), ('wiki', 0.46674725685252033), ('red_sor', 0.46674725685252033), ('哈哈哈', 0.4593463562169845), ('我是中國人', 0.4593463562169845), ('打一點中文', 0.4593463562169845), ('中國的小夥伴加我哈', 0.4593463562169845), ('librarything', 0.45717556833676215), ('topic', 0.45717556833676215), ('14', 0.45717556833676215), ('bookgagabooks', 0.45533056572902453), ('ca', 0.45533056572902453), ('2021', 0.45533056572902453), ('02', 0.45533056572902453), ('large', 0.3824220245320982), ('carrion', 0.3824220245320982), ('只揭示别人心中的恶', 0.33333333333333337), ('不坦露自我心中的恶', 0.33333333333333337), ('不是悲悯', 0.33333333333333337), ('甚至是无耻', 0.33333333333333337), ('只有正视人类之恶', 0.33333333333333337), ('只有认识到自我之丑', 0.33333333333333337), ('只有描写人类不可克服的弱点和病态人格导致的悲惨命运', 0.33333333333333337), ('才是真正的悲剧', 0.33333333333333337), ('才可能具有', 0.33333333333333337), ('真的没有想到', 0.12499999999999993), ('我这么快就把这本书看完了', 0.12499999999999993), ('两天时间', 0.12499999999999993), ('算是我读书以来除了网络小说外读的最快的一本书了', 0.12499999999999993), ('其实有些不对', 0.12499999999999993), ('这本书我真应该更是慢慢的读了', 0.12499999999999993), ('因为书中很多地方都能看出作者在写的时候', 0.12499999999999993), ('用的字用的词都是经过深思熟虑过的', 0.12499999999999993), ('这个地方换一个字可能就不是那个意思了', 0.12499999999999993), ('那个地方少一句话就会扭转文章的含义', 0.12499999999999993), ('还有哪些各种精妙的比喻', 0.12499999999999993), ('那么真实鲜活', 0.12499999999999993), ('该让人喜悦的时候让人想笑', 0.12499999999999993), ('该让人恶心的时候让人难以忍受', 0.12499999999999993), ('真的像那些评论家所说的一样', 0.12499999999999993), ('莫言的小说很有画面感', 0.12499999999999993), ('对我来说还不止是2d画面', 0.12499999999999993), ('它的效果的是3d的', 0.12499999999999993), ('真的仿佛身临其境一样', 0.12499999999999993), ('说说这个故事', 0.12499999999999993), ('我很早都听说过了', 0.12499999999999993), ('但一直没有看过', 0.12499999999999993), ('看过那么多主角一定是好人的小说', 0.12499999999999993), ('以为这一本书也不会太出格', 0.12499999999999993), ('看的时候', 0.12499999999999993), ('我这才知道我错得离谱', 0.12499999999999993), ('这里边真是谁都有英雄性', 0.12499999999999993), ('谁也有王八蛋性', 0.12499999999999993), ('人性的复杂', 0.12499999999999993), ('阴阳', 0.12499999999999993), ('在莫言笔下写的惟妙惟肖', 0.12499999999999993), ('抗日不再是以神圣的爱国情操为起因', 0.12499999999999993), ('八路军', 0.12499999999999993), ('国民党和余占鳌所领导的土匪谁也不是什么好鸟', 0.12499999999999993), ('就是这个火辣辣的真实性', 0.12499999999999993), ('泼墨般的挥洒人性美的壮丽', 0.12499999999999993), ('但也毫不怜惜的揭示人性的丑', 0.12499999999999993), ('让我这个没读过几本书的小年轻真是刺激良久', 0.12499999999999993), ('每一个角色都那么丰满', 0.12499999999999993), ('即便是他只出现在那两页之间', 0.12499999999999993), ('短短的篇幅可能是直接介绍', 0.12499999999999993), ('也可能是旁敲恻隐就把这个人展示在读者面前', 0.12499999999999993), ('真是只有在细节上的精细', 0.12499999999999993), ('才能把整个主体衬托的更美', 0.12499999999999993), ('初看的时候', 0.12499999999999993), ('对于这种叙事方法很不适应', 0.12499999999999993), ('整本书仿佛是在下山坡', 0.12499999999999993), ('最开始让人看的心惊火辣以至于可能失去理智', 0.12499999999999993), ('慢慢地平缓', 0.12499999999999993), ('微风轻拂气躁过去', 0.12499999999999993), ('让读者又能从理智上看这本小说', 0.12499999999999993), ('另一个让我感觉既棒既不棒的地方', 0.12499999999999993), ('是它的叙事时间表', 0.12499999999999993), ('他仿佛是一个沧桑的老大爷', 0.12499999999999993), ('那些久远的故事', 0.12499999999999993), ('时间上已经很难分清谁先谁后了', 0.12499999999999993), ('反正是说到哪', 0.12499999999999993), ('讲到哪', 0.12499999999999993), ('不一定按顺序', 0.12499999999999993), ('不一定按条理', 0.12499999999999993), ('反正故事不会错', 0.12499999999999993), ('最后感觉用莫言', 0.12499999999999993), ('的一句话做结尾比较好', 0.12499999999999993), ('这也算是我从这本书中最大的收获吧', 0.12499999999999993)]\n"
     ]
    }
   ],
   "source": [
    "all_tfidf_scores = {}\n",
    "for doc_index in range(tfidf_matrix.shape[0]):\n",
    "    feature_index = tfidf_matrix[doc_index, :].nonzero()[1]\n",
    "    for i in feature_index:\n",
    "        word = feature_names[i]\n",
    "        score = tfidf_matrix[doc_index, i]\n",
    "        if word in all_tfidf_scores:\n",
    "            all_tfidf_scores[word] += score\n",
    "        else:\n",
    "            all_tfidf_scores[word] = score\n",
    "print(sorted(all_tfidf_scores.items(), key=lambda x:x[1], reverse=True))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "ed8f90f0-abf5-4e71-bc21-94b8d905996b",
   "metadata": {},
   "outputs": [],
   "source": [
    "wordcloud = WordCloud(width=800, height=400, background_color='white')                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "4a59caea-d4ab-46bb-b8ee-84ab14b4b62e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x1dd3b691550>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordcloud.generate_from_frequencies(all_tfidf_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "181e92b3-24db-4103-b26e-4c2ab40b5635",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "c7061446-b122-46fc-a3db-ec5d2cd1fae9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x1dd3b691550>"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordcloud.to_file('C:\\\\Users\\\\fyved\\\\数据分析\\\\读者评论词云图.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35997f64-ad45-484b-9c17-b2590bfe85a4",
   "metadata": {},
   "source": [
    "LDA主题分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "658b7427-daae-449f-99ae-db0963c40c4b",
   "metadata": {},
   "source": [
    "词的向量化操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "ad76ee95-af72-4ac3-9d8f-76ceb3cc574c",
   "metadata": {},
   "outputs": [],
   "source": [
    "lda_model = LatentDirichletAllocation(n_components=6, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "f87c686b-10a8-48ec-a104-afdf4226db65",
   "metadata": {},
   "outputs": [],
   "source": [
    "lda_output = lda_model.fit_transform(tfidf_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "661e85a6-db4a-4a8c-a29d-495dbe0086d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_names = vectorizer.get_feature_names_out()\n",
    "n_top_words = 6\n",
    "topic_dict = {}\n",
    "for topic_idx, topic in enumerate(lda_model.components_):\n",
    "    top_words_idx = topic.argsort()[-n_top_words:][::-1]\n",
    "    top_words = [feature_names[i] for i in top_words_idx]\n",
    "    topic_dict[f\"Topic {topic_idx + 1}\"] = top_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "cc940ffe-82b7-4be3-8ac6-54cb844bc3c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Topic 1: china, family, beautiful, human, graphic, set\n",
      "Topic 2: war, japanese, style, blood, father, death\n",
      "Topic 3: time, yan, mo, people, times, narrative\n",
      "Topic 4: violence, characters, love, yu, enjoyed, detail\n",
      "Topic 5: life, dogs, nobel, plot, understand, nature\n",
      "Topic 6: sorghum, chinese, red, history, brutal, hard\n"
     ]
    }
   ],
   "source": [
    "for topic, words in topic_dict.items():\n",
    "    print(f\"{topic}: {', '.join(words)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "fed5bc70-9083-4d29-aced-1859dbfb812d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Document - Topic Distribution:\n",
      "        Topic 1   Topic 2   Topic 3   Topic 4   Topic 5   Topic 6\n",
      "0      0.166667  0.166667  0.166667  0.166667  0.166667  0.166667\n",
      "1      0.083336  0.083336  0.083336  0.583318  0.083337  0.083336\n",
      "2      0.083334  0.083334  0.083334  0.583332  0.083334  0.083334\n",
      "3      0.583332  0.083334  0.083334  0.083334  0.083334  0.083334\n",
      "4      0.083333  0.083333  0.083333  0.083333  0.583333  0.083333\n",
      "...         ...       ...       ...       ...       ...       ...\n",
      "14543  0.083333  0.083333  0.583333  0.083333  0.083333  0.083333\n",
      "14544  0.083334  0.583332  0.083334  0.083334  0.083334  0.083334\n",
      "14545  0.083336  0.083336  0.083336  0.083336  0.583320  0.083336\n",
      "14546  0.083334  0.583329  0.083334  0.083334  0.083334  0.083334\n",
      "14547  0.083333  0.583333  0.083333  0.083333  0.083333  0.083333\n",
      "\n",
      "[14548 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "doc_topic_df = pd.DataFrame(lda_output, columns=[f\"Topic {i + 1}\" for i in range(lda_model.n_components)])\n",
    "print(\"\\nDocument - Topic Distribution:\")\n",
    "print(doc_topic_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "620b72ee-10e3-4aa1-9bcc-6f3e9dc9c76d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be8d03c3-ef0a-4fb1-9f50-a19dff7a3a45",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "642c35d9-8bac-4dd7-9a3e-93397f72d023",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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